基本信息出版社：Wiley-IEEE Press
页码：576 页
出版日期：2008年09月
ISBN：0470173661
条形码：9780470173664
装帧：精装
正文语种：英语
外文书名：卡尔曼滤波: 理论与采用 Matlab 的实践

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This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results.
作者简介 Mohinder S. Grewal, PhD, PE, is Professor of Electrical Engineering in the College of Engineering and Computer Science at California State University, Fullerton. He has more than thirty–five years of experience in inertial navigation and control, and his mechanizations are currently used in commercial and military aircraft, surveillance satellites, missile and radar systems, freeway traffic control, and the Global Navigation Satellite System.

Angus P. Andrews, PhD, is a retired senior scientist from the Rockwell Science Center. His experience with aerospace systems analysis and design using Kalman filters began with his involvement in the Apollo moon project, and he is credited with the discovery of unknown landmark tracking as an orbital navigation method.
编辑推荐 Review
"Provides readers with a working familiarity with both the theoretical and practical aspects of Kalman filtering." (SciTech Book News, Vol. 25, No. 3, September 2001)

"Provides readers with a working familiarity with both the theoretical and practical aspects of Kalman filtering." -- SciTech Book News, Vol. 25, No. 3, September 2001

"This book could serve as an introduction to stochastic/random processes...practicing engineers with enough mathematical background would appreciate this book...academicians and scientists would also find this book very useful." (IEEE Circuits & Devices Magazine, July 2003)

"Provides readers with a working familiarity with both the theoretical and practical aspects of Kalman filtering." (SciTech Book News, Vol. 25, No. 3, September 2001)

"Provides readers with a working familiarity with both the theoretical and practical aspects of Kalman filtering." -- SciTech Book News, Vol. 25, No. 3, September 2001 --This text refers to the Hardcover edition.